{"title":"ArcheGEO","authors":"Huey-Eng Chua, L. Tucker-Kellogg, S. Bhowmick","doi":"10.1145/3535508.3545531","DOIUrl":null,"url":null,"abstract":"Transciptomic data stored in the Gene Expression Omnibus (GEO) serves thousands of queries per day, but a lack of standardized machine-readable metadata causes many searches to return irrelevant hits, which impede convenient access to useful data in the GEO repository. Here, we describe ArcheGEO, a novel end-to-end framework that improves results from the GEO Browser by automatically determining the relevance of these results. Unlike existing tools, ArcheGEO reports on the irrelevant results and provides reasoning for their exclusion. Such reasoning can be leveraged to improve annotations of metadata.","PeriodicalId":354504,"journal":{"name":"Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3535508.3545531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Transciptomic data stored in the Gene Expression Omnibus (GEO) serves thousands of queries per day, but a lack of standardized machine-readable metadata causes many searches to return irrelevant hits, which impede convenient access to useful data in the GEO repository. Here, we describe ArcheGEO, a novel end-to-end framework that improves results from the GEO Browser by automatically determining the relevance of these results. Unlike existing tools, ArcheGEO reports on the irrelevant results and provides reasoning for their exclusion. Such reasoning can be leveraged to improve annotations of metadata.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Examining post-pandemic behaviors influencing human mobility trends Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness Trajectory-based and sound-based medical data clustering Session details: Graphs & networks TopographyNET
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1